7 The table contains the state population and the number of licensed drivers in the state (both in millions)for the states with population under 1 million in 2014. The regression model for this data is y = 0.75xwhere x is the state population (in millions) and y is the number of licensed drivers (in millions) in theLicensed Drivers in 2014StatePopulationLicensed DriversA0.710.53state.В0.940.710.960.720.740.550.840.64F0.620.470.580.44(A) Draw a scatter plot of the data and a graph of the model on the same axes. Choose the correct graph below.O A.В.D.0.5-0.5-0.5-0.50-0-1.40.7State pop. (millions, x)0.70.71.41.40.71.4State pop. (millions, x)State pop. (millions, x)State pop. (millions, x)Drivers (millions, y)Drivers (millions, y)Drivers (millions, y)Drivers (millions, y)

We can solve this using given information

Answered: state. 0.94 0.71 0.96 0.72 0.74 0.55…

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter7: Analytic Trigonometry

Section7.6: The Inverse Trigonometric Functions

Problem 93E

See similar textbooks

Similar questions

Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4
A real estate analyst has developed a multiple regression line, y = 60 + 0.068 x1 – 2.5 x2, to predict y = the market price of a home (in $1,000s), using two independent variables, x1 = the total number of square feet of living space, and x2 = the age of the house in years. With this regression model, the predicted price of a 10-year old home with 2,500 square feet of living area is __________. $205.00 $200,000.00 $205,000.00 $255,000.00
A supermarket has a chain of 12 stores in Kuwait. Sales figures and profits for the stores are given in the following table. Obtain a regression equation for the data, and predict profit for a store assuming sales of $20 million. Show all calculations in detail. Sales, x (in millions of dollars) Profits, y (in millions of dollars) 7 0.12 2 0.1 6 0.13 12 0.15 14 0.25 16 0.2 10 0.24 12 0.2 14 0.27 20 0.15 7 0.34 8 0.17
In a fisheries researcher's experiment, the correlation between the number of eggs in the nest and the number of viable (surviving) eggs for a sample of nests is r = 0.67. The equation of the regression line for number of viable eggs y versus number of eggs in the nest x is y = 0.72x + 17.07. For a nest with 140 eggs, what is the predicted number of viable eggs?
Healthy Hamburgers has a chain of 12 stores in northern Illinois. Sales figures and profitsfor the stores are given in the following table. Obtain a regression equation for the data, andpredict profit for a store assuming sales of $10 million.Unit Sales, x(in $ millions)Profits, y(in $ millions)$7 $0.15 2 0.106 0.134 0.1514 0.2515 0.2716 0.2412 0.2014 0.2720 0.4415 0.347 0.17
A real estate analyst has developed a multiple regression line, y = 60 + 0.068 x1 – 2.5 x2, to predict y = the market price of a home (in $1,000s), using independent variables, x1 = the total number of square feet of living space, and x2 = the age of the house in years. The regression coefficient of x2 suggests this: __________. If the square feet area of living space is kept constant, a 1 year increase in the age of the homes will result in a predicted drop of $2500 in the price of the homes If the square feet area of living space is kept constant, a 1 year increase in the age of the homes will result in a predicted increase of $2500 in the price of the homes Whatever be the square feet area of the living space, a 1 year increase in the age of the homes will result in a predicted increase of $2500 in the price of the homes Whatever be the square feet area of the living space, a 1 year increase in the age of the homes will result in a predicted drop of $2500 in the price of the homes
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. xx 11.9 8.1 6.8 3.9 2.6 2.7 2.1 0.6 yy 14.4 10.7 10.1 7.6 6.2 6.5 5.7 4.4 xx = thousands of automatic weaponsyy = murders per 100,000 residentsDetermine the regression equation in y = a + bx form and write it below. (Round to 2 decimal places) A) How many murders per 100,000 residents can be expected in a state with 6.2 thousand automatic weapons? Answer = Round to 4 decimal places. B) How many murders per 100,000 residents can be expected in a state with 8.7 thousand automatic weapons? Answer = Round to 4 decimal places.
Assume that there is a positive linear correlation between the variable R (return rate in percent of financial investment) and the variable t (age in years of the investment) given by the regression equation R = 2.5t + 5.3. 1- Without further information, can we assume there is a cause-and-effect relationship between the return rate and the age of the investment?
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. xx 11.4 8 7.2 3.3 2.3 2.6 2.4 0.4 yy 13.4 10.9 10.3 6.8 6 6.2 6.2 4.3 xx = thousands of automatic weaponsyy = murders per 100,000 residentsDetermine the regression equation in y = ax + b form and write it below. (Round to 2 decimal places) A) How many murders per 100,000 residents can be expected in a state with 1.5 thousand automatic weapons? Answer = Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 5.4 thousand automatic weapons? Answer = Round to 3 decimal places.
Assume that there is a positive linear correlation between the variable R (return rate in percent of financial investment) and the variable t (age in years of the investment) given by the regression equation R = 2.5t + 5.3. 1- If the investment continues to grow at a constant rate, what is the expected return rate when the investment is 7 years old?
Assume that there is a positive linear correlation between the variable R (return rate in percent of a financial investment) and the variable t (age in years of the investment) given by the regression equation R = 2.3t + 4.8. Without further information, can we assume there is a cause-and-effect relationship between the return rate and the age of the investment? If the investment continues to grow at a constant rate, what is the expected return rate when the investment is 7 years old? If the investment continues to grow at a constant rate, how old is the investment when the return rate is 30%?
the table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. xx 11.6 8.6 7 3.5 2.9 2.2 2.3 0.6 yy 14.2 11.4 9.7 7.2 6.6 5.9 5.7 4.3 x = thousands of automatic weaponsy = murders per 100,000 residentsDetermine the regression equation in y = ax + b form and write it below. (Round to 3 decimal places) A) How many murders per 100,000 residents can be expected in a state with 6.2 thousand automatic weapons? Answer = Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 3.8 thousand automatic weapons? Answer = Round to 4 decimal places.

SEE MORE QUESTIONS

Recommended textbooks for you

Algebra & Trigonometry with Analytic Geometry

Algebra

ISBN:

9781133382119

Author:

Swokowski

Publisher:

Cengage

Functions and Change: A Modeling Approach to Coll…

Algebra

ISBN:

9781337111348

Author:

Bruce Crauder, Benny Evans, Alan Noell

Publisher:

Cengage Learning

Algebra & Trigonometry with Analytic Geometry

Algebra

ISBN:

9781133382119

Author:

Swokowski

Publisher:

Cengage

Functions and Change: A Modeling Approach to Coll…

Algebra

ISBN:

9781337111348

Author:

Bruce Crauder, Benny Evans, Alan Noell

Publisher:

Cengage Learning

SEE MORE TEXTBOOKS